Zscaler

AI DevOps Engineer

Zscaler · Remote - USA; San Jose, California, USA

Posted 27 days ago

or apply directly on Zscaler's site. We never take the application ourselves.

Is this posting real?

This role has been open
27 days
Zscaler's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of Zscaler's roles list one
Ghost-job risk at Zscaler
low
0 stale, 19 reposted of 370 open
Hiring momentum
564 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Zscaler's own greenhouse board since 2026-08-03. Full hiring picture for Zscaler.

About this role

As an AI DevOps Engineer at Zscaler, you will design and implement automation for cloud environments, focusing on both Day 1 and Day 2 operations. Your role involves writing Terraform modules, integrating AI tools into workflows, and collaborating with various teams to establish automated guardrails. This position is remote within the USA, with a preference for candidates in San Jose, CA.

Our read on this posting3.0out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Zscaler as an employer.

What you need

  • 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms
  • Hands-on expertise with Terraform, including module design, state management, and CI-driven workflows
  • Proficiency in scripting and automation using Python, Bash, or equivalent languages
  • Working knowledge of CI/CD pipeline design and Kubernetes operations
  • Understanding of identity federation, secrets management, and least-privilege security patterns
  • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving

Nice to have

  • Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs
  • Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD
  • Experience with MLOps frameworks: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise

What you get

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Worth weighing

  • Remote position with a hybrid preference for San Jose, CA
  • Salary range provided but excludes commission/bonus/equity
  • Role involves significant automation and integration of AI tools, which may require ongoing learning and adaptation

Summarised from Zscaler's posting. Read the full original.

Listed by Zscaler on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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